Brain-shift compensation using intraoperative ultrasound and constraint-based biomechanical simulation

Fanny Morin (1, 2) , Hadrien Courtecuisse (3, 2) , Ingerid Reinertsen (4) , Florian Le Lann (5) , Olivier Palombi (5) , Yohan Payan (1) , Matthieu Chabanas (1)

1 TIMC-IMAG-GMCAO - Gestes Medico-chirurgicaux Assistés par Ordinateur
2 ICube - Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie
3 MIMESIS - Computational Anatomy and Simulation for Medicine
4 SINTEF Digital - Stiftelsen for INdustriell og TEknisk Forskning Digital [Trondheim]
5 CHUGA - Centre Hospitalier Universitaire [CHU Grenoble]

Purpose. During brain tumor surgery, planning and guidance are based on pre-operative images which do not account for brain-shift. However, this deformation is a major source of error in image-guided neurosurgery and affects the accuracy of the procedure. In this paper, we present a constraint-based biome-chanical simulation method to compensate for craniotomy-induced brain-shift that integrates the deformations of the blood vessels and cortical surface, using a single intraoperative ultrasound acquisition. Methods. Prior to surgery, a patient-specific biomechanical model is built from preoperative images, accounting for the vascular tree in the tumor region and brain soft tissues. Intraoperatively, a navigated ultrasound acquisition is performed directly in contact with the organ. Doppler and B-mode images are recorded simultaneously, enabling the extraction of the blood vessels and probe footprint respectively. A constraint-based simulation is then executed to register the pre-and intraoperative vascular trees as well as the cortical surface with the probe footprint. Finally, preoperative images are updated to provide the surgeon with images corresponding to the current brain shape for navigation. Results. The robustness of our method is first assessed using sparse and noisy synthetic data. In addition, quantitative results for five clinical cases are provided , first using landmarks set on blood vessels, then based on anatomical structures delineated in medical images. The average distances between paired vessels landmarks ranged from 3.51 to 7.32 (in mm) before compensation. With our method, on average 67% of the brain-shift is corrected (range [1.26; 2.33]) against 57% using one of the closest existing works (range [1.71; 2.84]). Finally, our method is proven to be fully compatible with a surgical workflow in terms of execution times and user interactions. Conclusion. In this paper, a new constraint-based biomechanical simulation method is proposed to compensate for craniotomy-induced brain-shift. While being efficient to correct this deformation, the method is fully integrable in a clinical process.

Mots clés: biomechanical simulation; Constraint-based; Intraoperative ultrasound; Brain-shift; Lagrangian Multipliers; Elastic registration; Boundary conditions

Domaines: Modélisation et simulation; Biomécanique [physics.med-ph]; Ingénierie biomédicale; Imagerie

Fanny Morin, Hadrien Courtecuisse, Ingerid Reinertsen, Florian Le Lann, Olivier Palombi, et al.. Brain-shift compensation using intraoperative ultrasound and constraint-based biomechanical simulation. Medical Image Analysis, 2017, 40, pp.133 - 153. ⟨10.1016/j.media.2017.06.003⟩. ⟨hal-01560157⟩